Coaching and SAT scores: Critique (4.1,4.3) The data you used in the previous two exercises came from a random sample of students who took the SAT twice. The response rate was 63%, which is pretty good for nongovernment surveys.

(a) Explain how nonresponse could lead to bias in this study.

(b) We can’t be sure that coaching actually caused the coached students to gain more than the un-coached students. Explain briefly but clearly why this is so

Short Answer

Expert verified

a). The results cannot be generalized to the entire population.

b). An observational study cannot prove causation, only an experiment is capable of proving causation.

Step by step solution

01

Part (a) Step 1: Given Information

The response rate was 63%, which is pretty good for nongovernment surveys.

02

Part (a) Step 2: Explanation

The people who responded might have a very different result than those who did not respond. For example, people with very low scores will most likely be to embarrassed to respond.

Since the scores of the nonresponses could be very different from the scores of the responders, the true values and conclusions might be very different for the two groups.

Thus the results cannot be generalized to the entire population.

03

Part (b) Step 1: Given Information

The response rate was 63%, which is pretty good for nongovernment surveys.

04

Part (b) Step 2: Explanation

Individuals are purposely subjected to a treatment in order to examine their reactions in an experiment.

An observational study tries to gather information without disturbing the scene they are observing.

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Most popular questions from this chapter

Construct and interpret a 95% confidence interval for p1-p2 in Exercise 23. Explain what additional information the confidence interval provides.

Thirty-five people from a random sample of 125workers from Company A admitted to using sick leave when they weren’t really ill. Seventeen employees from a random sample of 68workers from Company B admitted that they had used sick leave when they weren’t ill. A 95% confidence interval for the difference in the proportions of workers at the two companies who would admit to using sick leave when they weren’t ill is

(a) 0.03±(0.28)(0.72)125+(0.25)(0.75)68

(b) localid="1650367573248" 0.03±1.96(0.28)(0.72)125+(0.25)(0.75)68

(c) 0.03±1.645(0.28)(0.72)125+(0.25)(0.75)68

(d)

0.03±1.96(0.269)(0.731)125+(0.269)(0.731)68

(e) 0.03±1.645(0.269)(0.731)125+(0.269)(0.731)68

43. Is red wine better than white wine? Observational studies suggest that moderate use of alcohol by adults reduces heart attacks and that red wine may have special benefits. One reason may be that red wine contains polyphenols, substances that do good things to cholesterol in the blood and so may reduce the risk of heart attacks. In an experiment, healthy men were assigned at random to drink half a bottle of either red or white wine each day for two weeks. The level of polyphenols in their blood was measured before and after the two-week period. Here are the percent
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